A smaller MAE indicates a better match to the ground truth (GT). Complementarily to the weighted F-measure, this metric rewards predictions with a high recall rate due to its preference for false-positive samples [1]}. Alternatively, one can also use the mean absolute percentage error (MAPE) [2]} with the total number of pixels in the image being replaced by the number of true-positive pixels \(N_{tp}\)  in the denominator of MAE as,
\(MAPE=\frac{1}{N_{tp}} \sum _{i=1}^{I}\sum _{j=1}^{J}|s_{ij}-y_{ij}|\) 
